Job Title: Postdoctoral Opportunity in Multi-physics Modeling, Data Science, Scientific Machine learning

Description of Position: We are seeking a dedicated full-time postdoctoral researcher to contribute to an innovative project focused on data-driven modeling for multi-physics computational mechanics. Specifically, our aim is to develop data-driven, physics-informed simulation tools for electrochemical machining, a multi-physics process involving fluid flow, current density distribution, electrochemical reactions, and heat transfer.We will leverage experimental data from our industry partner, Voxel Innovations Inc., for the development of these models. The selected candidate will collaborate with researchers from the University of Notre Dame and Voxel Innovations Inc., integrating data, physics governing equations, and machine learning. The ultimate goal is to create predictive models and simulations for multi-physics systems.

The duration of the position is one year, with possibility for extension based upon performance review and continuation of funding.

Minimum Qualifications: 

• PhD in Engineering, Applied Math or a related discipline.
• Research experience in computational modeling and computational mechanics
• Ability to work independently and in teams.

Desired Qualifications

• Experience with computational modeling of electrochemical machining
• Experience with data-driven modeling and machine learning.

Application Procedure: Please send the following documents to Prof. Jian-Xun Wang ([email protected])

•  Resume/CV
• Contact information of three professional references.

Contact Information: Prof. Jian-Xun Wang ([email protected])

Website: http://sites.nd.edu/jianxun-wang/

Closing Date: 9/30/2023